scholarly journals Health Monitoring System using Raspberry Pi and IOT

2019 ◽  
Vol 12 (1) ◽  
pp. 08-13 ◽  
Author(s):  
E. N. GANESH
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Medical Information ◽  
Patient Data ◽  
Sensor Data ◽  
Raspberry Pi ◽  
The Internet ◽  
Health Monitoring System ◽  
The World ◽  
Patient Health

Health Monitoring system using IOT describes the collection and interoperation of Patient data collected from the sensors from the hospitals through IOT Technology. The collected sensor data will support the doctor in the emergency situation for the betterment and improvement of Patient health. The hardware platform to implement the project consists of a sensor and Raspberry Pi 3 Model B equipped in a way to communicate with a doctor through the Internet and Smart Phone. This proposed idea will help doctors to know about the state of patient health and monitor anywhere in the world. In this proposed idea the sensors gather the medical information of the patient that includes patient’s heart rate, blood pressure, and pulse rate Then using the camera the patient is livelily monitored through the Raspberry kit and this information is sent to the Internet and stored in a medical server. The doctor and patient can monitor the patient data from any place of the world through the provided IP server address anytime. The emergency alert is sent to the patient if the sensor value is exceeded by the threshold data. Thus the patient's health parameters are watched lively and regular monitoring through the medical server to a doctor will help to make an effective diagnosis and almost accurate care can be given. The data collected through the IOT will help the patient to recover easily and also enhanced medical care can be given to the patients at a low cost.

A Cloud-Based Patient Health Monitoring System Using the Internet of Things

2019 ◽  
pp. 188-201
Author(s):  
R. Murugan
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Health Monitoring ◽  
Raspberry Pi ◽  
The Internet ◽  
Android Application ◽  
Great Opportunity ◽  
Health Monitoring System ◽  
Patient Health ◽  
The Internet Of Things

To conquer medical carelessness, a novel framework will be created on the grounds that daily medicinal services are essential. This framework conveys equipment, and Android application, the pulse, temperature of body, dampness rate are detected by the sensor in equipment. There is a Raspberry pi over which this detected information is transferred. The system dependent on internet of things (IOT) is utilized for remotely getting to information. With the end goal to get to the information universally, IOT used to keep all refreshed data on pages, a great opportunity to put information on mists. There is an Android-based application that can get to information from server through wi-fi to give us a chance to see the detected information. On the off chance that any of the anomalies are discovered, those must be settled, so it will send message to tolerant and individual specialists.

scholarly journals Cy Sician-Revolutionizing Patient Health Monitoring System with auto-diagnosis

2020 ◽  
Vol 9 (4) ◽  
pp. 1809-1813
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Well Being ◽  
Raspberry Pi ◽  
Processing Unit ◽  
Patient Handling ◽  
Health Monitoring System ◽  
Sensor Module ◽  
Patient Health ◽  
Patient Will

Cardiovascular diseases (CVD) has emerged as one of the major causes for death in all over the world. This paper displays a framework to remotely screen, health of Cardiovascular disease affected patients utilizing Machine to Machine (M2M) innovation which is a part of the project called CySician . Real time patient health monitoring system is advantageous to the patients and society as it will significantly reduce medical charges, waiting time for patient and improve patient handling capability of any hospital. In this patient health monitoring system pulse rate, ECG, body temperature, Body Mass Index(BMI) and general clinical interrogation is finished by a chatbot named “LifeBot”. The primary components associated with this project are pulse sensor, Raspberry Pi 3B+ (processing unit), temperature sensor module sensor, utilizing Machine Learning (ML) calculation it automatically analyzes the accumulated information to propose prescription to the patient. After the patient is diagnosed and the disease is detected, the patient will be notified with the kind of medication he needs. If the problem is nominal, the patient will be suggested with a basic treatment and will be monitored regularly. If the problem is of major scale, the patient will be directed to the payment gateway where he will be asked to pay a nominal fee for appointment from doctors to continue his check-up .Ultimately, the final well-being report is displayed to the doctor on the User interface that is visible on PC/Laptop.

scholarly journals IOT Based Health Monitoring System

2021 ◽  
Vol 9 (8) ◽  
pp. 1176-1178
Author(s):  
Sowmya G
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Social Insurance ◽  
Vital Signs ◽  
Smart Phone ◽  
Smart Devices ◽  
The Internet ◽  
Health State ◽  
Health Monitoring System ◽  
Vital Parameters

Abstract: The increased use of smart phones and smart devices in the health zone has brought on extraordinary effect on the world’s critical care. The Internet of things is progressively permitting to coordinate sensors fit for associating with the Internet and give data on the health condition of patients. These technologies create an amazing change in medicinal services during pandemics. Likewise, many users are beneficiaries of the M-Health (Mobile Health) applications and E-Health (social insurance upheld by ICT) to enhance, help and assist continuously to specialists who help. The main aim of this ‘IOT Health Monitoring System’ is to build up a system fit for observing vital body signs such as body temperature, heart rate, pulse oximetry etc. The System is additionally equipped measuring Room Temperature and Humidity and Atmosphere CO level. To accomplish this, the system involves many sensors to display vital signs that can be interfaced to the doctor’s smart phone as well as caretakers’ smartphone. This prototype will upload the readings from the sensor to a server remotely and the information gathered will be accessible for analysis progressively. It has the capacity of reading and transmitting vital parameters measured to the cloud server and then to any Smartphone configured with Blynk App. These readings can be utilized to recognize the health state of the patient and necessary actions can be taken if the vital parameters are not in prescribed limits for a longer period. Keywords: IOT Health Monitoring System, Vital parameters, Blynk App

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